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<table width="100%" summary="page for etmotc"><tr><td>etmotc</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Effect of erythromycin on mixed sewage microorganisms</h2>

<h3>Description</h3>

<p>Relative growth rate in biomass of mixed sewage microorganisms (per hour) as a function of
increasing concentrations of the antibiotic erythromycin (mg/l).
</p>


<h3>Usage</h3>

<pre>data(etmotc)</pre>


<h3>Format</h3>

<p>A data frame with 57 observations on the following 4 variables.
</p>

<dl>
<dt><code>cell</code></dt><dd><p>a numeric vector</p>
</dd>
<dt><code>dose1</code></dt><dd><p>a numeric vector</p>
</dd>
<dt><code>pct1</code></dt><dd><p>a numeric vector</p>
</dd>
<dt><code>rgr1</code></dt><dd><p>a numeric vector</p>
</dd>
</dl>



<h3>Details</h3>

<p>Data stem from an experiment investigating the effect of pharmaceuticals,
that are used in human and veterinary medicine and that are being released into the aquatic environment through
waste water or through manure used for fertilising agricultural land. The experiment constitutes a typical
dose-response situation. The dose is concentration of the antibiotic erythromycin (mg/l), which is an antibiotic
that can be used by persons or animals showing allergy to penicillin, and the measured response is the relative
growth rate in biomass of mixed sewage microorganisms (per hour), measured as turbidity two hours after exposure
by means of a spectrophotometer. The experiment was designed in such a way that eight replicates were assigned
to the control (dose 0), but no replicates were assigned to the 7 non-zero doses. Further details are found in
Christensen et al (2006).
</p>


<h3>Source</h3>

<p>Christensen, A. M. and Ingerslev, F. and Baun, A. 2006 
Ecotoxicity of mixtures of antibiotics used in aquacultures, 
<em>Environmental Toxicology and Chemistry</em>, <b>25</b>, 2208&ndash;2215.
</p>


<h3>Examples</h3>

<pre>

etmotc.m1&lt;-drm(rgr1~dose1, data=etmotc[1:15,], fct=LL.4())
plot(etmotc.m1)
modelFit(etmotc.m1)
summary(etmotc.m1)

etmotc.m2&lt;-drm(rgr1~dose1, data=etmotc[1:15,], fct=W2.4())
plot(etmotc.m2, add = TRUE)
modelFit(etmotc.m2)
summary(etmotc.m2)

etmotc.m3&lt;-drm(rgr1~dose1, data=etmotc[1:15,], fct=W2.3())
plot(etmotc.m3, add = TRUE)
modelFit(etmotc.m3)
summary(etmotc.m3)

</pre>


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